When we talk about conditional probability, there are some common mistakes people make:

1. Independence Confusion: A lot of people think that if we use conditional probability, it means the events are dependent on each other. But this isn’t always the case! Two events can still be independent, even if we look at them in a specific way.

2. Swapping Events: Some learners think that $P(A|B)$ is the same as $P(B|A)$. It's super important to remember that these two probabilities are not the same!

3. Ignoring the Situation: Sometimes, people forget how important the situation is when looking at probabilities. Always think about the context.

Understanding these common mistakes can really help you get a better grasp of conditional probability!